A comparison of document clustering techniques

DMCA

A comparison of document clustering techniques (2000)

Cached

Download Links

by Michael Steinbach , George Karypis , Vipin Kumar

Venue:	In KDD Workshop on Text Mining
Citations:	599 - 29 self

BibTeX

@INPROCEEDINGS{Steinbach00acomparison,
    author = {Michael Steinbach and George Karypis and Vipin Kumar},
    title = {A comparison of document clustering techniques},
    booktitle = {In KDD Workshop on Text Mining},
    year = {2000}
}

OpenURL

Abstract

This paper presents the results of an experimental study of some common document clustering techniques: agglomerative hierarchical clustering and K-means. (We used both a “standard” K-means algorithm and a “bisecting ” K-means algorithm.) Our results indicate that the bisecting K-means technique is better than the standard K-means approach and (somewhat surprisingly) as good or better than the hierarchical approaches that we tested.

Keyphrases

common document experimental study bisecting k-means algorithm agglomerative hierarchical clustering hierarchical approach standard k-means algorithm k-means technique standard k-means approach

DMCA